Albrecht Haase

2.0k total citations
58 papers, 1.5k citations indexed

About

Albrecht Haase is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Albrecht Haase has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 21 papers in Insect Science and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Albrecht Haase's work include Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Plant and animal studies (15 papers). Albrecht Haase is often cited by papers focused on Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Plant and animal studies (15 papers). Albrecht Haase collaborates with scholars based in Italy, Germany and Austria. Albrecht Haase's co-authors include R. Antolini, Bogdan V. Parakhonskiy, Giorgio Vallortígara, Amélie Cabirol, Gianfranco Anfora, Jörg Schmiedmayer, Elisa Rigosi, G. Bräuer, Yulia I. Svenskaya and E. A. LUK'YANETS and has published in prestigious journals such as Physical Review Letters, Angewandte Chemie International Edition and Journal of Neuroscience.

In The Last Decade

Albrecht Haase

56 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Albrecht Haase Italy 21 325 287 283 270 259 58 1.5k
Yaqin Jiang China 20 161 0.5× 210 0.7× 168 0.6× 787 2.9× 77 0.3× 44 1.9k
Shanjun Chen China 27 195 0.6× 94 0.3× 50 0.2× 124 0.5× 211 0.8× 144 2.5k
Jean‐Pol Vigneron Belgium 15 570 1.8× 48 0.2× 98 0.3× 541 2.0× 246 0.9× 37 1.2k
Jean Pol Vigneron Belgium 23 920 2.8× 24 0.1× 173 0.6× 250 0.9× 485 1.9× 44 1.4k
Peter Vukusic United Kingdom 20 615 1.9× 22 0.1× 203 0.7× 392 1.5× 447 1.7× 33 1.5k
Virginie Lousse Belgium 23 1.0k 3.2× 21 0.1× 161 0.6× 387 1.4× 498 1.9× 44 1.6k
Isamu Shimizu Japan 33 255 0.8× 351 1.2× 50 0.2× 212 0.8× 349 1.3× 243 3.7k
Joerg T. Albert United Kingdom 14 49 0.2× 54 0.2× 21 0.1× 114 0.4× 192 0.7× 28 1.1k
Jean‐René Martin France 27 105 0.3× 397 1.4× 25 0.1× 415 1.5× 415 1.6× 60 2.7k
Edwige Moyroud United Kingdom 22 343 1.1× 40 0.1× 294 1.0× 142 0.5× 569 2.2× 37 2.0k

Countries citing papers authored by Albrecht Haase

Since Specialization
Citations

This map shows the geographic impact of Albrecht Haase's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Albrecht Haase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albrecht Haase more than expected).

Fields of papers citing papers by Albrecht Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albrecht Haase. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Albrecht Haase. The network helps show where Albrecht Haase may publish in the future.

Co-authorship network of co-authors of Albrecht Haase

This figure shows the co-authorship network connecting the top 25 collaborators of Albrecht Haase. A scholar is included among the top collaborators of Albrecht Haase based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Albrecht Haase. Albrecht Haase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Tiraboschi, Ettore, et al.. (2024). Associative Learning of Quantitative Mechanosensory Stimuli in Honeybees. Insects. 15(2). 94–94.
3.
Paoli, Marco, et al.. (2023). Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network. Insects. 14(6). 539–539. 2 indexed citations
4.
Tiraboschi, Ettore, et al.. (2023). Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees. Scientific Reports. 13(1). 3851–3851. 3 indexed citations
5.
Carcaud, Julie, Marianne Otte, Bernd Grünewald, et al.. (2023). Multisite imaging of neural activity using a genetically encoded calcium sensor in the honey bee. PLoS Biology. 21(1). e3001984–e3001984. 17 indexed citations
6.
Tiraboschi, Ettore, et al.. (2021). Parallel Processing of Olfactory and Mechanosensory Information in the Honey Bee Antennal Lobe. Frontiers in Physiology. 12. 790453–790453. 7 indexed citations
7.
Baracchi, David, Amélie Cabirol, Jean‐Marc Devaud, et al.. (2020). Pheromone components affect motivation and induce persistent modulation of associative learning and memory in honey bees. Communications Biology. 3(1). 447–447. 35 indexed citations
8.
Paoli, Marco & Albrecht Haase. (2018). In Vivo Two-Photon Imaging of the Olfactory System in Insects. Methods in molecular biology. 1820. 179–219. 10 indexed citations
9.
Horsfield, Andrew P., Albrecht Haase, & Luca Turin. (2017). Molecular recognition in olfaction. Advances in Physics X. 2(3). 937–977. 11 indexed citations
10.
Paoli, Marco, Daniel Münch, Albrecht Haase, et al.. (2017). Minute Impurities Contribute Significantly to Olfactory Receptor Ligand Studies: Tales from Testing the Vibration Theory. eNeuro. 4(3). ENEURO.0070–17.2017. 18 indexed citations
11.
Paoli, Marco, Andrea Anesi, R. Antolini, et al.. (2016). Differential Odour Coding of Isotopomers in the Honeybee Brain. Scientific Reports. 6(1). 21893–21893. 20 indexed citations
12.
Versace, Elisabetta, et al.. (2016). Physiological and behavioral responses in Drosophila melanogaster to odorants present at different plant maturation stages. Physiology & Behavior. 163. 322–331. 13 indexed citations
13.
Frasnelli, Elisa, Albrecht Haase, Elisa Rigosi, et al.. (2014). The Bee as a Model to Investigate Brain and Behavioural Asymmetries. Insects. 5(1). 120–138. 39 indexed citations
14.
Parakhonskiy, Bogdan V., et al.. (2011). Porous vaterite particles as drug delivery system : synthesis, encapsulation, and controlled release. European Biophysics Journal. 40. 230–230. 5 indexed citations
15.
Parakhonskiy, Bogdan V., Albrecht Haase, & R. Antolini. (2011). Sub‐Micrometer Vaterite Containers: Synthesis, Substance Loading, and Release. Angewandte Chemie International Edition. 51(5). 1195–1197. 193 indexed citations
16.
Haase, Albrecht, Elisa Rigosi, Elisa Frasnelli, et al.. (2011). A multimodal approach for tracing lateralisation along the olfactory pathway in the honeybee through electrophysiological recordings, morpho-functional imaging, and behavioural studies. European Biophysics Journal. 40(11). 1247–1258. 18 indexed citations
17.
Haase, Albrecht, Elisa Rigosi, Federica Trona, et al.. (2010). In-vivo two-photon imaging of the honey bee antennal lobe.. PubMed. 2(1). 131–8. 19 indexed citations
18.
Haase, Albrecht, Nicolás Piro, J. Eschner, & Morgan W. Mitchell. (2008). Tunable narrowband entangled photon pair source for resonant single-photon single-atom interaction. Optics Letters. 34(1). 55–55. 39 indexed citations
19.
Krüger, P., Martin Klein, Albrecht Haase, et al.. (2003). Trapping and Manipulating Neutral Atoms with Electrostatic Fields. Physical Review Letters. 91(23). 233201–233201. 56 indexed citations
20.
Vollmer, Dirk, Albrecht Haase, & Christoph Bourauel. (2000). Halbautomatische Generierung von Finite-Element-Netzen zahnmedizinischer Präparate - Semi-automatic Generation of Finite Element Meshes of Dental Preparations. Biomedizinische Technik/Biomedical Engineering. 45(3). 62–69. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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